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metadata
base_model: KOCDIGITAL/Kocdigital-LLM-8b-v0.1
language:
  - tr
license: llama3
tags:
  - llama-cpp
  - gguf-my-repo
model-index:
  - name: Kocdigital-LLM-8b-v0.1
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: AI2 Reasoning Challenge TR
          type: ai2_arc
          config: ARC-Challenge
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: acc
            value: 44.03
            name: accuracy
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: HellaSwag TR
          type: hellaswag
          split: validation
          args:
            num_few_shot: 10
        metrics:
          - type: acc
            value: 46.73
            name: accuracy
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU TR
          type: cais/mmlu
          config: all
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 49.11
            name: accuracy
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: TruthfulQA TR
          type: truthful_qa
          config: multiple_choice
          split: validation
          args:
            num_few_shot: 0
        metrics:
          - type: acc
            value: 48.21
            name: accuracy
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Winogrande TR
          type: winogrande
          config: winogrande_xl
          split: validation
          args:
            num_few_shot: 10
        metrics:
          - type: acc
            value: 54.98
            name: accuracy
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GSM8k TR
          type: gsm8k
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 51.78
            name: accuracy

serkandyck/Kocdigital-LLM-8b-v0.1-Q4_K_M-GGUF

This model was converted to GGUF format from KOCDIGITAL/Kocdigital-LLM-8b-v0.1 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo serkandyck/Kocdigital-LLM-8b-v0.1-Q4_K_M-GGUF --hf-file kocdigital-llm-8b-v0.1-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo serkandyck/Kocdigital-LLM-8b-v0.1-Q4_K_M-GGUF --hf-file kocdigital-llm-8b-v0.1-q4_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo serkandyck/Kocdigital-LLM-8b-v0.1-Q4_K_M-GGUF --hf-file kocdigital-llm-8b-v0.1-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo serkandyck/Kocdigital-LLM-8b-v0.1-Q4_K_M-GGUF --hf-file kocdigital-llm-8b-v0.1-q4_k_m.gguf -c 2048